Data Modeler's Workbench: Tools and Techniques for Analysis by Steve Hoberman

By Steve Hoberman

A goldmine of necessary instruments for info modelers!Data modelers render uncooked data-names, addresses, and revenues totals, for instance-into info resembling shopper profiles and seasonal paying for styles that may be used for making serious company judgements. This e-book brings jointly thirty of the best instruments for fixing universal modeling difficulties. the writer offers an instance of every software and describes what it truly is, why it's wanted, and the way it's more often than not used to version info for either databases and knowledge warehouses, in addition to information and warnings. clean pattern copies of all worksheets and checklists defined are supplied in an appendix.Companion site beneficial properties updates at the newest instruments and strategies, plus hyperlinks to similar websites providing computerized instruments.

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Twelve minutes left! You: You see, both that map on your wall and our enterprise data model provide three very important benefits: agreement, planning, and issue resolution. ) Agreement means that people with very different backgrounds, cultures, and beliefs understand and concur that this is the way the world is. On the enterprise data model, your data warehouse department and the accounting department can finally agree on which financial data are in the data warehouse. That’s probably one of the thorns in your side right now.

For example, one very-well-known person in our industry almost always starts his presentation with a parrot joke, which he uses to explain the topics he will discuss. The joke is always short and entertaining. The parrot joke is a great attention-getting device and helps us visualize his points clearly. Data Modeling Anecdotes In Practice To illustrate the steps to come up with a useful anecdote, I will go through an example of one that I use quite often. Let’s go through each of these three steps.

These anecdotes help strengthen relationships with those around us and entertain and educate us. We can visualize what the speaker is saying. Sometimes, when the story is complete, we leave with a message or additional understanding we did not have before. Anecdotes are extremely effective in explaining data modeling concepts for a number of reasons: They create lasting visual. Our minds are much more easily able to absorb and retain a story than a fact, a statement, or an explanation. For example, on a job interview simply telling the interviewer that you are a hard worker would not have the same lasting impact as would describing a situation or story where you had to work nights and weekends to complete a task.

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